Upload TFBertForMaskedLM

README.md

@@ -1,6 +1,6 @@
 ---
-base_model: bert-base-uncased
-license: apache-2.0
+license: mit
+base_model: google-bert/bert-base-german-cased
 tags:
 - generated_from_keras_callback
 model-index:
@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
 
 # BERT-case-german-tng
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [google-bert/bert-base-german-cased](https://huggingface.co/google-bert/bert-base-german-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.4407
+- Train Loss: 2.4288
 - Epoch: 0
 
 ## Model description
@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Epoch |
 |:----------:|:-----:|
-| 1.4407     | 0     |
+| 2.4288     | 0     |
 
 
 ### Framework versions

config.json

@@ -17,8 +17,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
-  "transformers_version": "4.44.2",
+  "transformers_version": "4.42.4",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30000

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:03ab4768e88fa1b65008250742aea4d324778569319627bc94c8a03a7173ee20
-size 533687616
+oid sha256:dbb1acd14f1bc9bb1b7851603c3a816f0ce88399464779f14697461c49d7e06b
+size 530478360